Big Data Reviews

** Flat 20% Off (Use Code: YOUTUBE20) Hadoop Training: https://www.edureka.co/hadoop **This Edureka Big Data tutorial ( Big Data Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this tutorial:

1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:

1. Master the concepts of HDFS and MapReduce framework2. Understand Hadoop 2.x Architecture3. Setup Hadoop Cluster and write Complex MapReduce programs4. Learn data loading techniques using Sqoop and Flume5. Perform data analytics using Pig, Hive and YARN6. Implement HBase and MapReduce integration7. Implement Advanced Usage and Indexing8. Schedule jobs using Oozie9. Implement best practices for Hadoop development10. Work on a real life Project on Big Data Analytics11. Understand Spark and its Ecosystem12. Learn how to work in RDD in Spark

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Who should go for this course?

If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:1. Analytics professionals2. BI /ETL/DW professionals3. Project managers4. Testing professionals5. Mainframe professionals6. Software developers and architects7. Recent graduates passionate about building successful career in Big Data

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Why Learn Hadoop?

Big Data! A Worldwide Problem?

According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!

The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.

- - - - - - - - - - - - - -

Opportunities for Hadoopers!

Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself!

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

Customer Review:

Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favourite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”

Big Data basically refers to, huge volume of data that cannot be, stored and processed using the traditional approach within the given time frame.

The next big question that comes to our mind is?How huge this data needs to be? In order to be classified as Big Data?There is a lot of misconception, while referring the term Big Data.We usually use the term big data, to refer to the data, that is, either in gigabytes or terabytes or petabytes or exabytes or anything that is larger than this in size.This does not defines the term Big Data completely.Even a small amount of data can be referred to as Big Data depending on the context it is used.

Let me take an example and try to explain it to you.For instance if we try to attach a document that is of 100 megabytes in size to an email we would not be able to do so.As the email system would not support an attachment of this size.Therefore this 100 megabytes of attachment with respect to email can be referred to as Big Data.

Let me take another example and try to explain the term Big Data.Let us say we have around 10 terabytes of image files, upon which certain processing needs to be done.For instance we may want to resize and enhance these images within a given time frame.Suppose if we make use of the traditional system to perform this task.We would not be able to accomplish this task within the given time frame.As the computing resources of the traditional system would not be sufficient to accomplish this task on time.Therefore this 10 terabytes of image files can be referred to as Big Data.

Now let us try to understand Big Data using some real world examples.I believe you all might be aware of some the popular social networking sites, such as Facebook, Twitter, LinkedIn, Google Plus and YouTube.Each of this site, receives huge volume of data on a daily basis.It has been reported on some of the popular tech blogs that.Facebook alone receives around 100 terabytes of data each day.Whereas Twitter processes around 400 million tweets each day.As far as LinkedIn and Google Plus are concerned each of the site receives tens of terabytes of data on a daily basis.And finally coming to YouTube, it has been reported that, each minute around 48 hours of fresh videos are uploaded to YouTube.You can just imagine, how much volume of data is being stored and processed on these sites.But as the number of users keep growing on these sites, storing and processing this data becomes a challenging task.Since this data holds a lot of valuable information, this data needs to be processed in a short span of time.By using this valuable information, companies can boost their sales and generate more revenue.By making using of the traditional computing system, we would not be able to accomplish this task within the given time frame, as the computing resources of the traditional system would not be sufficient for processing and storing, such a huge volume of data.This is where Hadoop comes into picture, we would be discussing Hadoop in more detail in the later sessions.Therefore we can term this huge volume of data as Big Data.

Let me take another real world example related to the airline industry and try to explain the term Big Data.For instance the aircrafts, while they are flying keep transmitting data to the air traffic control located at the airports.The air traffic control uses this data to track and monitor the status and progress of the flight on a real time basis.Since multiple aircrafts would be transmitting this data simultaneously to the air traffic control.A huge volume of data gets accumulated at the air traffic control within a short span of time.Therefore it becomes a challenging task to manage and process this huge volume of data using the traditional approach.Hence we can term this huge volume of data as Big Data.

I hope you all might have understood, "What is Big Data".

Big Data and Hadoop for Absolute Beginners:Click to enroll at a deep discounted price https://goo.gl/HsbEC8

** Flat 20% Off (Use Code: YOUTUBE20) Hadoop Training: https://www.edureka.co/hadoop **This Edureka Big Data tutorial ( Big Data Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this tutorial:

1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - -

About the Course

Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:

1. Master the concepts of HDFS and MapReduce framework2. Understand Hadoop 2.x Architecture3. Setup Hadoop Cluster and write Complex MapReduce programs4. Learn data loading techniques using Sqoop and Flume5. Perform data analytics using Pig, Hive and YARN6. Implement HBase and MapReduce integration7. Implement Advanced Usage and Indexing8. Schedule jobs using Oozie9. Implement best practices for Hadoop development10. Work on a real life Project on Big Data Analytics11. Understand Spark and its Ecosystem12. Learn how to work in RDD in Spark

- - - - - - - - - - - - - -

Who should go for this course?

If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:1. Analytics professionals2. BI /ETL/DW professionals3. Project managers4. Testing professionals5. Mainframe professionals6. Software developers and architects7. Recent graduates passionate about building successful career in Big Data

- - - - - - - - - - - - - -

Why Learn Hadoop?

Big Data! A Worldwide Problem?

According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!

The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.

- - - - - - - - - - - - - -

Opportunities for Hadoopers!

Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself!

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

Customer Review:

Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favourite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”

Big Data basically refers to, huge volume of data that cannot be, stored and processed using the traditional approach within the given time frame.

The next big question that comes to our mind is?How huge this data needs to be? In order to be classified as Big Data?There is a lot of misconception, while referring the term Big Data.We usually use the term big data, to refer to the data, that is, either in gigabytes or terabytes or petabytes or exabytes or anything that is larger than this in size.This does not defines the term Big Data completely.Even a small amount of data can be referred to as Big Data depending on the context it is used.

Let me take an example and try to explain it to you.For instance if we try to attach a document that is of 100 megabytes in size to an email we would not be able to do so.As the email system would not support an attachment of this size.Therefore this 100 megabytes of attachment with respect to email can be referred to as Big Data.

Let me take another example and try to explain the term Big Data.Let us say we have around 10 terabytes of image files, upon which certain processing needs to be done.For instance we may want to resize and enhance these images within a given time frame.Suppose if we make use of the traditional system to perform this task.We would not be able to accomplish this task within the given time frame.As the computing resources of the traditional system would not be sufficient to accomplish this task on time.Therefore this 10 terabytes of image files can be referred to as Big Data.

Now let us try to understand Big Data using some real world examples.I believe you all might be aware of some the popular social networking sites, such as Facebook, Twitter, LinkedIn, Google Plus and YouTube.Each of this site, receives huge volume of data on a daily basis.It has been reported on some of the popular tech blogs that.Facebook alone receives around 100 terabytes of data each day.Whereas Twitter processes around 400 million tweets each day.As far as LinkedIn and Google Plus are concerned each of the site receives tens of terabytes of data on a daily basis.And finally coming to YouTube, it has been reported that, each minute around 48 hours of fresh videos are uploaded to YouTube.You can just imagine, how much volume of data is being stored and processed on these sites.But as the number of users keep growing on these sites, storing and processing this data becomes a challenging task.Since this data holds a lot of valuable information, this data needs to be processed in a short span of time.By using this valuable information, companies can boost their sales and generate more revenue.By making using of the traditional computing system, we would not be able to accomplish this task within the given time frame, as the computing resources of the traditional system would not be sufficient for processing and storing, such a huge volume of data.This is where Hadoop comes into picture, we would be discussing Hadoop in more detail in the later sessions.Therefore we can term this huge volume of data as Big Data.

Let me take another real world example related to the airline industry and try to explain the term Big Data.For instance the aircrafts, while they are flying keep transmitting data to the air traffic control located at the airports.The air traffic control uses this data to track and monitor the status and progress of the flight on a real time basis.Since multiple aircrafts would be transmitting this data simultaneously to the air traffic control.A huge volume of data gets accumulated at the air traffic control within a short span of time.Therefore it becomes a challenging task to manage and process this huge volume of data using the traditional approach.Hence we can term this huge volume of data as Big Data.

I hope you all might have understood, "What is Big Data".

Big Data and Hadoop for Absolute Beginners:Click to enroll at a deep discounted price https://goo.gl/HsbEC8